Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network VS face-emotion-recognition

Compare Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network vs face-emotion-recognition and see what are their differences.

Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network

Enhancing Speech Emotion Classification with CNNs: This project seeks to overcome the limitations of traditional approaches and improve the accuracy of emotion recognition. CNNs automatically extract features from speech signals, capturing complex patterns and nuances, leading to enhanced performance compared to traditional methods. (by EmilVl6)
convolutional-neural-network emotion-recognition
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face-emotion-recognition

Efficient face emotion recognition in photos and videos (by av-savchenko)
emotion-recognition face-emotion-detection face-expression face-emotion-recognition emotion-analysis emotion-detection facial-expression-recognition facial-expressions
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Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network face-emotion-recognition
2 1
2 587
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6.8 5.8
11 months ago 24 days ago
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MIT License Apache License 2.0
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Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network

Posts with mentions or reviews of Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network. We have used some of these posts to build our list of alternatives and similar projects.

face-emotion-recognition

Posts with mentions or reviews of face-emotion-recognition. We have used some of these posts to build our list of alternatives and similar projects.
  • [Research] Emotion recognition using videos on mobile devices
    1 project | /r/MachineLearning | 3 Jun 2021
    Yes, the training code is available in the co-author's github repository: https://github.com/HSE-asavchenko/face-emotion-recognition/tree/main/src There's code for several models that we tried training using the proposed approach. The best one turned out to be the EfficientNet-B0 model.

What are some alternatives?

When comparing Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network and face-emotion-recognition you can also consider the following projects:

converse - Conversational text Analysis using various NLP techniques

face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

fer - Facial Expression Recognition with a deep neural network as a PyPI package

human - Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition

strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath

pytorch-image-classification - Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

malaya - Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/

soxan - Wav2Vec for speech recognition, classification, and audio classification

Emotions-Classification - Tells You about the emotion/Sentimental Analysis of a Sentence

Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network vs converse face-emotion-recognition vs face-api.js Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network vs fer face-emotion-recognition vs human Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network vs strv-ml-mask2face face-emotion-recognition vs fer Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network vs pytorch-image-classification face-emotion-recognition vs malaya face-emotion-recognition vs soxan face-emotion-recognition vs Emotions-Classification